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Phase difference statistics related to sensor and forest parametersThe information content of ordinary synthetic aperture radar (SAR) data is principally contained in the radiometric polarization channels, i.e., the four Ihh, Ivv, Ihv and Ivh backscattered intensities. In the case of clutter, polarimetric information is given by the four complex degrees of coherence, from which the mean polarization phase differences (PPD), correlation coefficients or degrees of polarization can be deduced. For radiometric features, the polarimetric parameters are corrupted by multiplicative speckle noise and by some sensor effects. The PPD distribution is related to the sensor, speckle and terrain properties. Experimental results are given for the variation of the terrain hh/vv mean phase difference and magnitude of the degree of coherence observed on bare soil and on different pine forest stands.
Document ID
19930063763
Document Type
Conference Paper
Authors
Lopes, A. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Mougin, E. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Beaudoin, A. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Goze, S. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Nezry, E. (Centre d'Etude Spatiale des Rayonnements Toulouse, France)
Touzi, R. (Canada Centre for Remote Sensing Ottawa, United States)
Karam, M. A. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Fung, A. K. (Texas Univ. Arlington, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1992
Publication Information
Publication: In: IGARSS '92; Proceedings of the 12th Annual International Geoscience and Remote Sensing Symposium, Houston, TX, May 26-29, 1992. Vol. 1 (A93-47551 20-43)
Subject Category
EARTH RESOURCES AND REMOTE SENSING
Distribution Limits
Public
Copyright
Other

Related Records

IDRelationTitle19930063554Analytic PrimaryIGARSS '92; Proceedings of the 12th Annual International Geoscience and Remote Sensing Symposium, Houston, TX, May 26-29, 1992. Vols. 1 & 2